TY  - BOOK
AU  - Chen,Jie
AU  - Lang,Jérôme
AU  - Amato,Christopher
AU  - Zhao,Dengji
ED  - DAI (Conference)
TI  - Distributed artificial intelligence: third International Conference, DAI 2021, Shanghai, China, December 17-18, 2021, Proceedings 
T2  - Lecture notes in artificial intelligence
SN  - 9783030946623
AV  - Q337 
U1  - 006.30285/436 23
PY  - 2022///
CY  - Cham, Switzerland
PB  - Springer
KW  - Distributed artificial intelligence
KW  - Congresses
KW  - Intelligence artificielle répartie
KW  - Congrès
KW  - fast
KW  - Intel·ligència artificial distribuïda
KW  - thub
KW  - Science
KW  - proceedings (reports)
KW  - aat
KW  - Conference papers and proceedings
KW  - lcgft
KW  - Actes de congrès
KW  - rvmgf
KW  - Congressos
KW  - Llibres electrònics
N1  - Includes author index; The Power of Signaling and its Intrinsic Connection to the Price of Anarchy -- Uncertainty-aware Low-Rank Q-Matrix Estimation for Deep Reinforcement Learning -- SEIHAI: A Sample-effcient Hierarchical AI for the MineRL Competition -- GC: Multi-Agent Group Belief with Graph Clustering -- Incomplete Distributed Constraint Optimization Problems: Model, Algorithms, and Heuristics -- Securities Based Decision Markets -- MARL for Traffc Signal Control in Scenarios with Different Intersection Importance -- Safe Distributional Reinforcement Learning -- The Positive Effect of User Faults over Agent Perception in Collaborative Settings and its Use in Agent Design -- Behavioral Stable Marriage Problems -- FUN-Agent: a HUMAINE Competitor -- Signal Instructed Coordination in Cooperative Multi-Agent Reinforcement Learning -- A Description of the Jadescript Type System -- Combining M-MCTS and Deep Reinforcement Learning for General Game Playing -- A Two-Step Method for Dynamics of Abstract Argumentation
N2  - This book constitutes the refereed proceedings of the Third International Conference on Distributed Artificial Intelligence, DAI 2021, held in Shanghai, China, in December 2021. The 15 full papers presented in this book were carefully reviewed and selected from 31 submissions. DAI aims at bringing together international researchers and practitioners in related areas including general AI, multiagent systems, distributed learning, computational game theory, etc., to provide a single, high-profile, internationally renowned forum for research in the theory and practice of distributed AI
UR  - https://link.springer.com/10.1007/978-3-030-94662-3
ER  -